• DocumentCode
    677849
  • Title

    Analysis of the Characteristics of Adaptive Systems

  • Author

    Dorneich, Michael C. ; McGrath, Kellie A. ; Dudley, Rachel F. ; Morris, M.D.

  • Author_Institution
    Ind. & Manuf. Syst. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    888
  • Lastpage
    893
  • Abstract
    A method was developed to produce a set of consistent and independent characteristics of adaptive systems. Previous work identified human performance risks and benefits of adaptive systems through a systematic analysis of 25 characteristics. A potential limitation of the original analysis was the reliance on 25 characteristics that were potentially inconsistent. It could be that some characteristics were redundant, thereby giving more weight to the riskier characteristics, and increasing the average risk rating. A method was developed to evaluate each of the characteristics from a usability perspective. The results were then used to generate a Pearson´s rank correlation of each pair wise combination of characteristics. The utility of the method was triage for identifying those pair wise comparisons needing further human factors analysis without having to consider each combination. A final set of seven consistent and independent characteristics were defined.
  • Keywords
    adaptive systems; aerospace computing; human factors; Pearson rank correlation; adaptive systems; human factors analysis; human performance risks; pairwise comparisons; risk rating; systematic analysis; usability perspective; adaptive systems; adjustable autonomy; characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.156
  • Filename
    6721909